Physicians and biomedical engineers from Johns Hopkins report what they believe is the first successful effort to wiggle fingers individually and independently of one another using a mind-controlled artificial “arm” to control the movement.
The proof-of-concept feat, described recently in theJournal of Neural Engineering, represents a potential advance in technologies to restore refined hand function to those who have lost arms to injury or disease, the researchers say. According to the Amputee Coalition, more 100,000 people living in the U.S. have amputated hands or arms.
The young man on whom the experiment was performed was not missing an arm or hand, but he was outfitted with a device that essentially took advantage of a brain-mapping procedure to bypass control of his own arm and hand.
“We believe this is the first time a person using a mind-controlled prosthesis has immediately performed individual digit movements without extensive training,” says senior author Nathan Crone, professor of neurology at the Johns Hopkins University School of Medicine. “This technology goes beyond available prostheses, in which the artificial digits, or fingers, moved as a single unit to make a grabbing motion, like one used to grip a tennis ball.”
For the experiment, the research team recruited a young man with epilepsy already scheduled to undergo brain mapping at The Johns Hopkins Hospital’s Epilepsy Monitoring Unit to pinpoint the origin of his seizures. While brain recordings were made using electrodes surgically implanted for clinical reasons, the signals also control a modular prosthetic limb developed by the Johns Hopkins University Applied Physics Laboratory.
Prior to connecting the prosthesis, the researchers mapped and tracked the specific parts of the subject’s brain responsible for moving each finger, then programmed the prosthesis to move the corresponding finger.
First, the patient’s neurosurgeon placed an array of 128 electrode sensors—all on a single rectangular sheet of film the size of a credit card—on the part of the man’s brain that normally controls hand and arm movements. Each sensor measured a circle of brain tissue 1 millimeter in diameter. The computer program the Johns Hopkins team developed had the man move individual fingers on command and recorded which parts of the brain “lit up” when each sensor detected an electric signal.
Researchers also measured electrical brain activity involved in tactile sensation by outfitting the patient with a glove with small, vibrating buzzers in the fingertips that went off individually in each finger. The researchers measured the resulting electrical activity in the brain for each finger connection.
After the motor and sensory data were collected, the researchers programmed the prosthetic arm to move corresponding fingers based on which part of the brain was active. They turned on the prosthetic arm, which was wired to the patient through the brain electrodes, and asked him to “think” about individually moving thumb, index, middle, ring, and pinkie fingers. The electrical activity generated in the brain moved the fingers.
“The electrodes used to measure brain activity in this study gave us better resolution of a large region of cortex than anything we’ve used before and allowed for more precise spatial mapping in the brain,” says Guy Hotson, graduate student and lead author of the study. “This precision is what allowed us to separate the control of individual fingers.”
Initially, the mind-controlled limb had an accuracy of 76 percent. Once the researchers coupled the ring and pinkie fingers together, the accuracy increased to 88 percent.
“The part of the brain that controls the pinkie and ring fingers overlaps, and most people move the two fingers together,” Crone says. “It makes sense that coupling these two fingers improved the accuracy.”
The researchers note there was no pre-training required for the subject to gain this level of control, and the entire experiment took less than two hours.
Crone cautions that application of this technology to those actually missing limbs is still some years off and will be costly, requiring extensive mapping and computer programming.
